Resolves https://github.com/ultralytics/yolov5/issues/7638

May help https://github.com/ultralytics/yolov5/issues/7631#issuecomment-1113007451

Improved robustness to filename edge cases like `data/images/zidane.23.jpg` that currently fail. May resolve https://github.com/ultralytics/yolov5/issues/7432

* feature(export): add half support for openvino models

* Update export.py

* Update export.py
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Usage:
```
python utils/benchmarks.py --weights yolov5s.pt --img 640 --pt-only
```

Solution proposed in https://github.com/ultralytics/yolov5/issues/7128 to TRT PyTorch Hub CUDA illegal memory errors.

Follows implementation of _verbose flag for PyTorch Hub models. Currently these are so silent that result.print() does nothing 😂

* PyTorch Hub `_verbose=False` fix2

* Update downloads.py

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* Update hubconf.py

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May partially resolve concerns in https://github.com/ultralytics/yolov5/pull/7537#discussion_r856843711

* Update restapi.py

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* Add redundant weights download mirrors

This PR seeks to improve access worldwide to YOLOv5 weights. Universal access to AI for all is our core value, and we are against any censorship or restriction efforts.

I've uploaded the official YOLOv5 v6.1 weights to a primary backup bucket on GCP and to secondary backup on Google Drive at https://drive.google.com/drive/folders/1EFQTEUeXWSFww0luse2jB9M1QNZQGwNl. Autodownload with try the first two locations (GitHuB release assets and GCP bucket), and point users to the Google Drive folder if the first two fail.

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* support nomedia

* support nomedia for validation

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* Update train.py

* Revert no plot evolve

evolve plots do not contain any images

* Revert plot_results

contains no media

* Update wandb_utils.py

* sync-bn cleanup

* Cleanup

* Rename nomedia -> noplots
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* Autoinstall TensorRT if missing

May resolve https://github.com/ultralytics/yolov5/issues/7464

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Verified fix for https://github.com/ultralytics/yolov5/pull/7525#issuecomment-1106081123

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* Refactor Docker files

* Refactor Docker files

* Update Dockerfile

* Added a way to skip dependency auto-installation.

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skip installing any missing dependencies as if the user had passed
`install=False` to `check_requirements`.

* Cleanup
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Follows https://github.com/ultralytics/yolov5/pull/7488. Correct bug where fonts were downloading to current working directory rather than global CONFIG_DIR

* Improved non-latin labels Annotator plotting

May resolve https://github.com/ultralytics/yolov5/issues/7460

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* add progress arg
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* Update val.py

is_coco doesn't work!! '/' -> os.sep!!

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* Cleanup

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Bumps [cirrus-actions/rebase](https://github.com/cirrus-actions/rebase) from 1.5 to 1.6.
- [Release notes](https://github.com/cirrus-actions/rebase/releases)
- [Commits](https://github.com/cirrus-actions/rebase/compare/1.5...1.6)

---
updated-dependencies:
- dependency-name: cirrus-actions/rebase
  dependency-type: direct:production
  update-type: version-update:semver-minor
...
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* add fp16 for coreml using --half

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* fix

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* Update `git_describe()`

Add .git path check to avoid `fatal: not a git repository (or any of the parent directories): .git` printout

* Update general.py

* Fix EdgeTPU output directory

Outputs to same directory as --weights

* Update export.py

No longer needed.

* add version warning

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* Dynamic normalization layer selection

Based on actual available layers. Torch 1.7 compatible, resolves https://github.com/ultralytics/yolov5/issues/7381

* Update train.py